考虑需求响应与光热电站参与的多源系统优化经济调度

Optimization economic dispatch of a multi-source system considering the participation of demand response and concentrating solar power plant

针对新能源消纳及电力系统经济调度问题,提出了一种考虑需求响应与光热电站参与的多源系统优化经济调度方法。首先,建立了需求响应及光热电站模型。然后,引入价格型需求响应(Price-based Demand Response,PBR)、激励型需求响应(Incentive-based Demand Response,IBR)及光热电站参与多源系统调度,并将条件风险价值理论(Condition Value at Risk,CVaR)引入目标函数中刻画不确定性因素引起的系统运行风险,建立了多源系统优化经济调度模型。算例结果表明:协同实施多种需求响应具有更好的削峰填谷效果,引入光热电站配合火电机组可以提高系统消纳深度。条件风险价值理论可以有效反映不确定性引起的系统风险水平,为管理者提供调度决策依据。

Considering the problems of new energy consumption and economic dispatch of power system,an optimization economic dispatch method of a multi-source system considering the participation of Demand Response(DR)and the Concentrating Solar Power(CSP)plant is proposed.First,this paper establishes the demand response model and the CSP plant model.Then,it introduces price-based demand response,incentive-based demand response and CSP plant to take part in multi-source system scheduling and introduces the theory of Condition Value at Risk(CVaR)as objective function to depict the system operational risk caused by uncertainty.An optimization economic dispatch model of a multi-source system is established.The simulation results show that the collaborative implementation of various DRs has a better effect on load shifting.Introducing the CSP plant into a system can improve the consumption depth.The CVaR theory can effectively reflect the level of system risk caused by uncertainty and provide scheduling-decision evidence for the system manager.